EFL Teachers’ Perceptions on Blackboard Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The widespread availability of technological infrastructure has enhanced the adoption of learning management systems (LMSs) in educational institutions. Blackboard is one of the most popular marketable LMSs adopted in higher education institutions. As some previous studies have viewed that positive perceptions played a vital role in adopting new technologies, this paper aims to investigate teachers’ perceptions on blackboard applications in the context of teaching English as a foreign language (EFL). To gather data, 32 EFL university teachers from Saudi Arabia were surveyed and interviewed about their perceptions toward the use of the blackboard. The results from the data instruments reveal that EFL teachers have positive perceptions on Blackboard applications to English language teaching. Most teachers view Blackboard as a structured e-learning platform that helps improve the teacher-student relationship in a course and aids to make teaching English more successful. The study findings; however, revealed that the use of blackboard as a blending learning is still focusing on administrative issues rather than pedagogical significance for language learning. Recommendations and directions for future research are highlighted at the end of this article.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it